Senior Big Data Engineer Latam

Buscojobs México; Nuevo León; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción del empleo

What you will do

- Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;

- Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;

- Gather and analyze data from various sources to train and refine predictive models;

- Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;

- Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;

- Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.

Must haves

• Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
• 3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
• Proven track record of developing and implementing predictive models to drive business outcomes;
• Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
• Statistical modeling, particularly regression;
• Python for data analysis, modeling, and automation;
• Experience with SQL and data wrangling large datasets with Snowflake or similar;
• Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
• Good English and communication skills;

The benefits of joining us

• Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation We match your growing skills with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime Tailor your schedule for an optimal work-life balance, with options for working from home or in the office

Job Types: Full-time, Contract

Work Location: In person

Data Engineering / Other Roles (Overview)

Our Data Engineering team plays a key role in our growth. This section provides context on pipeline processing, data platforms, and collaboration expectations across teams. Roles include building scalable data processing systems, optimizing jobs with Kafka, Hadoop, Presto, Spark Streaming and Kubernetes, ensuring data quality, and enabling data access for analysts, data scientists, and developers. Technologies commonly used include Airflow, Docker, Hive/Impala, Kafka, Kubernetes, Presto, Spark Streaming, SQL Server, Sqoop.

Requirements (illustrative examples across roles)

• BA/BS degree in Computer Science or related field; 5+ years of software engineering experience for some postings;
• Proficiency in Python; Scala/Java a plus; Linux proficiency;
• Strong SQL and database concepts; experience with distributed systems (Hadoop, Spark, Kafka) preferred;
• Experience with cloud data platforms (Snowflake, Redshift, Databricks, Azure) and data warehousing;
• On-call availability and ability to participate in a 24x7 rotation for some roles;
• Excellent communication and collaboration skills; ability to work with cross-functional teams.

Notes: The original description includes multiple roles in English and Spanish, with varied titles and locations. This refined version consolidates the core responsibilities, requirements, and benefits while preserving the intent of the information. If you want a strictly one-role extraction (e.g., only the SEO/Data Scientist role or only the Data Engineer role), I can generate a focused version.